

'''simple docstring'''
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import AutoImageProcessor, ViTImageProcessor
from transformers.testing_utils import TOKEN, USER, get_tests_dir, is_staging_test


sys.path.append(str(Path(__file__).parent.parent / """utils"""))

from test_module.custom_image_processing import CustomImageProcessor  # noqa E402


_lowerCamelCase      					=     get_tests_dir("""fixtures""")
class 					_snake_case		(unittest.TestCase):






			def 		UpperCamelCase__							(  self     ):
				# A mock response for an HTTP head request to emulate server down
				UpperCAmelCase_     :      List[Any]						=  mock.Mock()
				UpperCAmelCase_     :      List[str]						=  5_00
				UpperCAmelCase_     :      List[str]						=  {}
				UpperCAmelCase_     :      Any						=  HTTPError
				UpperCAmelCase_     :      Optional[Any]						=  {}

				# Download this model to make sure it's in the cache.
				UpperCAmelCase_     :      Tuple						=  ViTImageProcessor.from_pretrained("hf-internal-testing/tiny-random-vit"     )
				# Under the mock environment we get a 500 error when trying to reach the model.
				with mock.patch("requests.Session.request"			,return_value=_snake_case     ) as mock_head:
					UpperCAmelCase_     :      Optional[int]						=  ViTImageProcessor.from_pretrained("hf-internal-testing/tiny-random-vit"     )
					# This check we did call the fake head request
					mock_head.assert_called()






			def 		UpperCamelCase__							(  self     ):
				# This test is for deprecated behavior and can be removed in v5
				UpperCAmelCase_     :      Tuple						=  ViTImageProcessor.from_pretrained(
				    "https://huggingface.co/hf-internal-testing/tiny-random-vit/resolve/main/preprocessor_config.json"     )






			def 		UpperCamelCase__							(  self     ):
				with self.assertRaises(_snake_case     ):
					# config is in subfolder, the following should not work without specifying the subfolder
					UpperCAmelCase_     :      Optional[int]						=  AutoImageProcessor.from_pretrained("hf-internal-testing/stable-diffusion-all-variants"     )

				UpperCAmelCase_     :      Dict						=  AutoImageProcessor.from_pretrained(
				    "hf-internal-testing/stable-diffusion-all-variants"			,subfolder="feature_extractor"     )

				self.assertIsNotNone(_snake_case     )




@is_staging_test
class 					_snake_case		(unittest.TestCase):






			@classmethod
			def 		UpperCamelCase__							(  cls     ):
				UpperCAmelCase_     :      Union[str, Any]						=  TOKEN
				HfFolder.save_token(_snake_case     )






			@classmethod
			def 		UpperCamelCase__							(  cls     ):
				try:
					delete_repo(token=cls._token			,repo_id="test-image-processor"     )
				except HTTPError:
					pass

				try:
					delete_repo(token=cls._token			,repo_id="valid_org/test-image-processor-org"     )
				except HTTPError:
					pass

				try:
					delete_repo(token=cls._token			,repo_id="test-dynamic-image-processor"     )
				except HTTPError:
					pass






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      Union[str, Any]						=  ViTImageProcessor.from_pretrained(_snake_case     )
				image_processor.push_to_hub("test-image-processor"			,use_auth_token=self._token     )

				UpperCAmelCase_     :      Tuple						=  ViTImageProcessor.from_pretrained(f'''{USER}/test-image-processor'''     )
				for k, v in image_processor.__dict__.items():
					self.assertEqual(_snake_case			,getattr(_snake_case			,_snake_case     )     )

				# Reset repo
				delete_repo(token=self._token			,repo_id="test-image-processor"     )

				# Push to hub via save_pretrained
				with tempfile.TemporaryDirectory() as tmp_dir:
					image_processor.save_pretrained(
					    _snake_case			,repo_id="test-image-processor"			,push_to_hub=_snake_case			,use_auth_token=self._token     )

				UpperCAmelCase_     :      Any						=  ViTImageProcessor.from_pretrained(f'''{USER}/test-image-processor'''     )
				for k, v in image_processor.__dict__.items():
					self.assertEqual(_snake_case			,getattr(_snake_case			,_snake_case     )     )






			def 		UpperCamelCase__							(  self     ):
				UpperCAmelCase_     :      List[Any]						=  ViTImageProcessor.from_pretrained(_snake_case     )
				image_processor.push_to_hub("valid_org/test-image-processor"			,use_auth_token=self._token     )

				UpperCAmelCase_     :      Dict						=  ViTImageProcessor.from_pretrained("valid_org/test-image-processor"     )
				for k, v in image_processor.__dict__.items():
					self.assertEqual(_snake_case			,getattr(_snake_case			,_snake_case     )     )

				# Reset repo
				delete_repo(token=self._token			,repo_id="valid_org/test-image-processor"     )

				# Push to hub via save_pretrained
				with tempfile.TemporaryDirectory() as tmp_dir:
					image_processor.save_pretrained(
					    _snake_case			,repo_id="valid_org/test-image-processor-org"			,push_to_hub=_snake_case			,use_auth_token=self._token     )

				UpperCAmelCase_     :      List[Any]						=  ViTImageProcessor.from_pretrained("valid_org/test-image-processor-org"     )
				for k, v in image_processor.__dict__.items():
					self.assertEqual(_snake_case			,getattr(_snake_case			,_snake_case     )     )






			def 		UpperCamelCase__							(  self     ):
				CustomImageProcessor.register_for_auto_class()
				UpperCAmelCase_     :      Tuple						=  CustomImageProcessor.from_pretrained(_snake_case     )

				image_processor.push_to_hub("test-dynamic-image-processor"			,use_auth_token=self._token     )

				# This has added the proper auto_map field to the config
				self.assertDictEqual(
				    image_processor.auto_map			,{"AutoImageProcessor": "custom_image_processing.CustomImageProcessor"}			,)

				UpperCAmelCase_     :      int						=  AutoImageProcessor.from_pretrained(
				    f'''{USER}/test-dynamic-image-processor'''			,trust_remote_code=_snake_case     )
				# Can't make an isinstance check because the new_image_processor is from the CustomImageProcessor class of a dynamic module
				self.assertEqual(new_image_processor.__class__.__name__			,"CustomImageProcessor"     )







def        snake_case__		(    lowerCamelCase_ = 1000		):
							return sum(e for e in range(3     ,				lowerCamelCase_		) if e % 3 == 0 or e % 5 == 0		)


if __name__ == "__main__":
		print(F"{solution() = }")






